LFM

This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple- Output (MIMO) systems. The analysis and simulation is considered in two stages. The rst stage involves the application of a variable-rate variable-power MQAM technique for a Single-Input Single-Output (SISO) OFDM system. The second stage applies adaptive modulation to a general MIMO system by making use of the Singular Value Decomposition to separate the MIMO channel into parallel subchannels.

利用ADM4017实现空调系统压力的采集（蒸发压力和冷凝压力) ,利用ADAM4018实现热电偶的温度采集。包含了曲线显示，数据存储功能，自定义温度标签功能。(this applicaion is used to get the temperature and pressure of the HVAC system by ADAM4017 and ADAM4018. include the cure print, the data storage and user defined label for 8 channels temperature.)

用matlab仿真零均值高斯白噪声通过低通带通滤波器前后特性，程序完善，结果与理论值非常接近(The zero mean white Gauss noise is simulated by MATLAB, and the program is perfect through the low pass bandpass filter. The result is very close to the theoretical value.)

Information fur the Eltergeldl

说明：  s29gl256s nor flash 源代码(s29gl256s device source code)

宽带无线通信OFDM技术.北京邮电大学王文博主编(OFDM broadband wireless communications technology. Wenbo Beijing University of Posts and Telecommunications Editor)

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

无几何距离组合联合MW组合探测周跳的改进算法(No combination of geometric distance detection of the Joint MW combined cycle slip Algorithm)

Hi..Modified BCJR and MAP alogorithm implementaion

说明：  数据辅助定时同步算法T.Schmidl 和D.Cox,Park&Cheon和minn(Data-Assisted Timing Synchronization Algorithms T.Schmidl and D.Cox, Park&Cheon and Minn)